Performance in population models for count data, part II: A new SAEM algorithm

Journal of Pharmacokinetics and Pharmacodynamics

Volumn 36, Issue 4, 2009, Pages 367-379

  Savic, Radojka ^a   Lavielle, Marc ^b  

^a INSERM   (France)

^b UNIVERSITÉ PARIS SUD   (France)

Author keywords

Count data; Fischer information matrix; Maximum likelihood estimation; MONOLIX; Nonlinear mixed effects model; SAEM algorithm

Indexed keywords

ALGORITHM; ARTICLE; CLINICAL TRIAL; DATA ANALYSIS; HUMAN; MAXIMUM LIKELIHOOD METHOD; MONTE CARLO METHOD; NONLINEAR MIXED EFFECTS MODEL; NONLINEAR SYSTEM; POISSON DISTRIBUTION; POPULATION MODEL; PRIORITY JOURNAL; PROBABILITY; STATISTICAL MODEL; STATISTICAL PARAMETERS; STATISTICAL SIGNIFICANCE; STOCHASTIC MODEL;

ALGORITHMS; BINOMIAL DISTRIBUTION; BIOMETRY; HUMANS; LIKELIHOOD FUNCTIONS; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; NONLINEAR DYNAMICS; NORMAL DISTRIBUTION; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; POISSON DISTRIBUTION;

EID: 69049117095     PISSN: 1567567X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10928-009-9127-7     Document Type: Article

References (19)

1. B Frame R Miller RL Lalonde 2003 Evaluation of mixture modeling with count data using NONMEM J Pharmacokinet Pharmacodyn 30 167 183
2. Troconiz IF, Plan EL, Miller R, Karlsson MO (2008) Modelling overdispersion and Markovian features in count data. American Conference on Pharmacometrics, Tucson, AZ
3. Beal SL, Sheiner LB, Boeckmann AJ (1989-2006) NONMEM users guides, icon development solutions, Ellicott City, Maryland, USA
4. Ette EI, Williams PJ (2007) Pharmacometrics: the science of quantitative pharmacology. Wiley, Hoboken
5. Y Wang 2007 Derivation of various NONMEM estimation methods J Pharmacokinet Pharmacodyn 34 575 593
6. SAS Institute Inc SAS Online Doc. SAS/STAT User's Guide, The NLMIXED Procedure. http://statdist.its.uu.se/sas/SASOnlinedocV8/sasdoc/saspdf/
7. Plan EL, Maloney A, Troconiz IF, Karlsson MO (2008) Maximum likelihood approximations: performance in population models for count data, p. 17, Abstr 1372 [ http://wwwpage-meetingorg/?abstract=1372 ]. Accessed January 2009
8. Clausen WHO, Ronn BB, Skoovgard IM (2009) Maximum likelihood estimation in nonlinear mixed effect models: Adaptive Gaussian Quadrature by sparse grid sampling, p 18, Abstr 1584 [ http://wwwpage-meetingorg/?abstract=1584 ]. Accessed June 2009
9. S Jonsson MC Kjellsson MO Karlsson 2004 Estimating bias in population parameters for some models for repeated measures ordinal data using NONMEM and NLMIXED J Pharmacokinet Pharmacodyn 31 299 320
10. Verbeke G (2006) Mixed models for the analysis of categorical repeated measures, p 15, Abstr 930 [ http://wwwpage-meetingorg/?abstract=930 ]. Accessed June 2009
11. RJ Bauer S Guzy C Ng 2007 A survey of population analysis methods and software for complex pharmacokinetic and pharmacodynamic models with examples AAPS J 9 E60 E83
12. E Kuhn M Lavielle 2005 Maximum likelihood estimation in nonlinear mixed effects models Comput Stat Data Anal 49 1020 1038
13. MONOLIX 2.4 User Guide, Vol. http://software.monolix.org. Accessed January 2009
14. Girard P, Mentre F (2005) A comparison of estimation methods in nonlinear mixed effects models using a blind analysis, p 14, Abstr 834 [ http://wwwpage-meetingorg/?abstract=834 ], Pamplona, Spain
15. K Brendel E Comets C Laffont C Laveille F Mentre 2006 Metrics for external model evaluation with an application to the population pharmacokinetics of gliclazide Pharm Res 23 2036 2049
16. Karlsson MO, Holford N (2008) A tutorial on visual predictive checks, p 17, Abstr 1434 [ http://wwwpage-meetingorg/?abstract=1434 ], Marseille. Accessed January 2009
17. Savic RM, Karlsson MO (2009) Importance of shrinkage in empirical bayes estimates for diagnostics: problems and solutions. AAPS J (in press)
18. U Wahlby EN Jonsson MO Karlsson 2001 Assessment of actual significance levels for covariate effects in NONMEM J Pharmacokinet Pharmacodyn 28 231 252
19. M Lavielle F Mentre 2007 Estimation of population pharmacokinetic parameters of saquinavir in HIV patients with the MONOLIX software J Pharmacokinet Pharmacodyn 34 229 249